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| 01-Part 1. Core pandas.mp4 |
4.61Мб |
| 02-Chapter 1. Introducing pandas.mp4 |
57.12Мб |
| 03-Chapter 1. Pandas vs. graphical spreadsheet applications.mp4 |
77.56Мб |
| 04-Chapter 1. A tour of pandas.mp4 |
35.74Мб |
| 05-Chapter 1. Counting values in a Series.mp4 |
38.67Мб |
| 06-Chapter 2. The Series object.mp4 |
36.50Мб |
| 07-Chapter 2. Customizing the Series index.mp4 |
31.95Мб |
| 08-Chapter 2. Creating a Series from Python objects.mp4 |
31.37Мб |
| 09-Chapter 2. Mathematical operations.mp4 |
45.42Мб |
| 10-Chapter 2. Arithmetic operations.mp4 |
19.18Мб |
| 11-Chapter 2. Passing the Series to Python’s built-in functions.mp4 |
27.04Мб |
| 12-Chapter 3. Series methods.mp4 |
43.48Мб |
| 13-Chapter 3. Sorting a Series.mp4 |
31.44Мб |
| 14-Chapter 3. Counting values with the value_counts method.mp4 |
27.07Мб |
| 15-Chapter 3. Invoking a function on every Series value with the apply method.mp4 |
36.79Мб |
| 16-Chapter 4. The DataFrame object.mp4 |
32.39Мб |
| 17-Chapter 4. Shared and exclusive attributes of Series and DataFrames.mp4 |
24.47Мб |
| 18-Chapter 4. Sorting a DataFrame.mp4 |
49.16Мб |
| 19-Chapter 4. Selecting rows from a DataFrame.mp4 |
33.31Мб |
| 20-Chapter 4. Extracting values from Series.mp4 |
41.63Мб |
| 21-Chapter 5. Filtering a DataFrame.mp4 |
42.55Мб |
| 22-Chapter 5. Filtering by a single condition.mp4 |
37.57Мб |
| 23-Chapter 5. Filtering by condition.mp4 |
41.61Мб |
| 24-Chapter 5. The drop_duplicates method.mp4 |
59.44Мб |
| 25-Part 2. Applied pandas.mp4 |
13.87Мб |
| 26-Chapter 6. Working with text data.mp4 |
25.52Мб |
| 27-Chapter 6. String slicing.mp4 |
27.55Мб |
| 28-Chapter 6. Splitting strings.mp4 |
41.73Мб |
| 29-Chapter 7. MultiIndex DataFrames.mp4 |
31.89Мб |
| 30-Chapter 7. MultiIndex DataFrames - Scaling up.mp4 |
34.20Мб |
| 31-Chapter 7. Sorting a MultiIndex.mp4 |
37.41Мб |
| 32-Chapter 7. Extracting one or more rows with loc.mp4 |
40.23Мб |
| 33-Chapter 7. Manipulating the Index.mp4 |
41.90Мб |
| 34-Chapter 8. Reshaping and pivoting.mp4 |
57.21Мб |
| 35-Chapter 8. Additional options for pivot tables.mp4 |
29.37Мб |
| 36-Chapter 8. Melting a data set.mp4 |
45.39Мб |
| 37-Chapter 9. The GroupBy object.mp4 |
27.37Мб |
| 38-Chapter 9. Attributes and methods of a GroupBy object.mp4 |
47.19Мб |
| 39-Chapter 9. Grouping by multiple columns.mp4 |
29.90Мб |
| 40-Chapter 10. Merging, joining, and concatenating.mp4 |
46.84Мб |
| 41-Chapter 10. Missing values in concatenated DataFrames.mp4 |
45.82Мб |
| 42-Chapter 10. Merging on index labels.mp4 |
36.32Мб |
| 43-Chapter 11. Working with dates and times.mp4 |
34.67Мб |
| 44-Chapter 11. Storing multiple timestamps in a DatetimeIndex.mp4 |
37.75Мб |
| 45-Chapter 11. Date offsets.mp4 |
34.93Мб |
| 46-Chapter 11. Coding challenge.mp4 |
45.44Мб |
| 47-Chapter 12. Imports and exports.mp4 |
46.43Мб |
| 48-Chapter 12. Exporting a DataFrame to a JSON file.mp4 |
41.43Мб |
| 49-Chapter 12. Exporting Excel workbooks.mp4 |
32.41Мб |
| 50-Chapter 13. Configuring pandas.mp4 |
32.62Мб |
| 51-Chapter 13. Precision.mp4 |
27.79Мб |
| 52-Chapter 14. Visualization.mp4 |
40.57Мб |
| Bonus Resources.txt |
386б |
| Get Bonus Downloads Here.url |
180б |